Graduate Prerequisites: (SPHPM822 & SPHPM828) or by permission of the instructor. - * The aim of this course is to provide advanced level graduate students with applied skills in quantitative policy analysis and program implementation and evaluation. To do so, we will review and further explore several topics of causal inference and research design that are partially introduced in other quantitative methods courses. Moreover, this course exposes students in an in- depth way to research projects completed by leading scholars in the field. The specific methods covered in this course include logic models, implementation evaluation, randomized experiments, and natural experiments applied to a broad spectrum of public policy problems and solutions. The course will integrate multiple skill sets, including quantitative modelling, statistical programming, research design, and proposal writing.

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